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ENTITY Co-Existence

Co-Existence

PulseAugur coverage of Co-Existence — every cluster mentioning Co-Existence across labs, papers, and developer communities, ranked by signal.

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7 day(s) with sentiment data

RECENT · PAGE 1/1 · 12 TOTAL
  1. COMMENTARY · CL_349652 ·

    Ethan Mollick's Fable 5.2 nears AGI with 'Jagged' capabilities

    Ethan Mollick's new book, "Co-Existence," has achieved New York Times bestseller status. He has been testing Anthropic's Fable 5.2 model, which he describes as "almost" Artificial General Intelligence, or "Jagged AGI." …

  2. MEME · CL_328916 ·

    Ethan Mollick's "Co-Existence" Hits NYT Bestseller List at #3

    Ethan Mollick's new book, "Co-Existence," has achieved a notable success by debuting at the #3 position on The New York Times bestseller list. The author expressed gratitude to his readers for their support in purchasin…

  3. COMMENTARY · CL_316449 ·

    AI capabilities surge, handling 17 weeks of human work in under 3 years

    AI capabilities have advanced dramatically in a short period, as evidenced by the progress in completing human tasks. In 2024, AI could handle approximately 4 minutes of human work with a 50% success rate. By the time E…

  4. COMMENTARY · CL_314151 ·

    Anthropic launches personal agent Duet; dev discusses agent control

    Anthropic has entered the personal agent market with Duet, a mobile app currently in research preview in the US. The app is expected to be powerful but may have rough edges, similar to other agents. Separately, a develo…

  5. COMMENTARY · CL_311403 ·

    AI Progress Accelerates: Agentic AI and Falling Costs Highlight Rapid Advancements

    Ethan Mollick's new book, "Co-Existence," highlights the rapid advancement of AI over the past 30 months, contrasting it with his previous book, "Co-Intelligence." He notes that AI's capabilities have progressed to a po…

  6. COMMENTARY · CL_302914 ·

    Ethan Mollick's book "Co-Existence" receives positive review from The New Scientist

    Ethan Mollick's upcoming book, "Co-Existence," has received its first review from The New Scientist. Mollick expressed surprise at the anonymity of book reviewers but was pleased with the positive reception of his work.

  7. COMMENTARY · CL_297176 ·

    Ethan Mollick's new book 'Co-Existence' offers AI voice interview bonus

    Ethan Mollick's new book, "Co-Existence," is set to be released on October 20th. Those who pre-order the book before this date will receive a special bonus: a 10-minute AI voice interview. This interview will generate c…

  8. COMMENTARY · CL_292432 ·

    Ethan Mollick's new book "Co-Existence" offers AI interview pre-order bonus

    Ethan Mollick, a professor at the Wharton School, has announced his new book, "Co-Existence," scheduled for release on October 20th. Pre-orders for the book include a unique bonus: access to an AI-powered interview desi…

  9. COMMENTARY · CL_277959 ·

    Ethan Mollick's book "Co-Existence" to feature AI-specific blurb from Tyler Cowen

    Ethan Mollick's upcoming book, "Co-Existence," is set to feature a blurb specifically tailored for AI readers, penned by economist Tyler Cowen. The book, scheduled for release on October 20th, will also include a dedica…

  10. COMMENTARY · CL_71846 ·

    Ethan Mollick announces new book on human-AI coexistence

    Ethan Mollick, a professor and author, has announced a new book titled "Co-Existence," scheduled for release on October 20th. The book explores the evolving relationship between humans and artificial intelligence, parti…

  11. COMMENTARY · CL_71898 ·

    Ethan Mollick releases new book on human-AI co-existence

    Ethan Mollick's new book, "Co-Existence," explores how humans can thrive alongside AI that is increasingly outperforming them in various tasks. Unlike his previous work, which focused on human-AI collaboration, this boo…

  12. RESEARCH · CL_310574 ·

    AI research spans model tuning, uncertainty estimation, and societal integration

    Researchers are exploring various aspects of AI, from optimizing language models to improving uncertainty estimation in computer vision. One paper investigates the hyperparameter landscape of Direct Preference Optimisat…